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AI Phone - On-device AI

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AI Phone - On-device AI in Others new

  • Seoul, Korea

Responsibilities

  • Evaluate open-weight and commercially available models for on-device execution.
  • Benchmark model performance on target mobile hardware.
  • Integrate models into Android applications and system services.
  • Optimize inference latency, memory consumption, and power usage.
  • Evaluate quantization, compression, and model distillation techniques.
  • Work with CPU, GPU, and NPU acceleration.
  • Evaluate local model capabilities for different workflows.
  • Build hybrid local/cloud model-routing mechanisms.
  • Determine which tasks should be handled locally versus through cloud inference.
  • Integrate local models into the agent runtime with AI agent engineers.

Requirements

  • Strong ML systems or inference engineering experience.
  • Experience deploying and optimizing models.
  • Strong Python and C++ skills.
  • Understanding of neural-network inference.
  • Experience with model quantization and performance optimization.
  • Understanding of hardware constraints and inference benchmarks.
  • Preferred experience with on-device LLMs, mobile or edge AI deployment, and multimodal model optimization.
  • Preferred experience with Qualcomm QNN, MediaTek NeuroPilot, ONNX Runtime, LiteRT, TensorFlow Lite, ExecuTorch, or Android NDK.

Bjak

Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insu...

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